Pith Number

pith:BL2MVV46

pith:2026:BL2MVV4677SZYVZLFGUAYYRFQO

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Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption

Jason Fournier (Imagine Learning), Kacper {\L}odzikowski (Adam Mickiewicz University, Poland), Pozna\'n

Three tensions must be balanced to successfully adopt agentic AI in education.

arxiv:2604.27245 v2 · 2026-04-29 · cs.CY · cs.AI

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\pithnumber{BL2MVV4677SZYVZLFGUAYYRFQO}

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

successfully navigating these innovations requires balancing three core tensions: (1) Implementation Feasibility, or the practical capacity to integrate AI sustainably into real classrooms; (2) Adaptation Speed, or the mismatch between fast-evolving AI capabilities and the slower pace of educational change; and (3) Mission Alignment, or the need to ensure AI applications uphold educational values such as equity, privacy, and pedagogical integrity.

C2weakest assumption

That the three identified tensions comprehensively capture the key challenges in agentic AI adoption for education, and that applying the framework will lead to better outcomes without needing additional dimensions or empirical testing.

C3one line summary

A three-tension framework is introduced to help navigate the adoption of autonomous agentic AI systems in K-12 and higher education by addressing practical, temporal, and value-based challenges.

Receipt and verification

First computed	2026-05-20T01:05:14.671948Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0af4cad79effe59c572b29a80c62258392dc180710b13da5c98996e87f7b03d5

Aliases

arxiv: 2604.27245 · arxiv_version: 2604.27245v2 · doi: 10.48550/arxiv.2604.27245 · pith_short_12: BL2MVV4677SZ · pith_short_16: BL2MVV4677SZYVZL · pith_short_8: BL2MVV46

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/BL2MVV4677SZYVZLFGUAYYRFQO \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 0af4cad79effe59c572b29a80c62258392dc180710b13da5c98996e87f7b03d5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "36cb81e96f6d1dfa573e1db44f689e87d109a47fc20e02fb88055f8d7ff729cb",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2026-04-29T22:33:36Z",
    "title_canon_sha256": "4f9600ee22380a59b2679f9350c3d399f0dfb353c6bed2f99ef51c8aeb7a39cb"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.27245",
    "kind": "arxiv",
    "version": 2
  }
}